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Decomposition of the fuzzy inference system for implementation in the FPGA structure

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the design and implementation of a digital rule-relational fuzzy logic controller. Classical and decomposed logical structures of fuzzy systems are discussed. The second allows a decrease in the hardware cost of the fuzzy system and in the computing time of the final result (fuzzy or crisp), especially when referring to relational systems. The physical architecture consists of IP modules implemented in an FPGA structure. The modules can be inserted into or removed from the project to get a desirable fuzzy logic controller configuration. The fuzzy inference system implemented in FPGA can operate with a much higher performance than software implementations on standard microcontrollers.
Rocznik
Strony
473--483
Opis fizyczny
Bibliogr. 46 poz., rys., tab., wykr.
Twórcy
autor
  • Institute of Electronics, Silesian University of Technology, Akademicka 16, 44-101 Gliwice, Poland
  • Institute of Electronics, Silesian University of Technology, Akademicka 16, 44-101 Gliwice, Poland
Bibliografia
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  • [39] Wyrwoł, B. (2004b). Modular fuzzy inference system: Compact defuzzyfication module, 7th Conference on Reprogrammable Digital Circuits, RUC’2004, Szczecin, Poland, pp. 217–224.
  • [40] Wyrwoł, B. (2008). Linguistic decomposition technique based on partitioning the knowledge base of the fuzzy inference system, Bulletin of the Polish Academy of Sciences: Technical Sciences 56(1): 71–76.
  • [41] Wyrwoł, B. (2011). Using graph greedy coloring algorithms in the hardware implementation of the HFIS fuzzy inference system, Electrical Review 87(10): 64–67.
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  • [46] Zbysiński, P. and Pasierbiński, J. (1992). Programmable Devices—First Steps, BTC Publishing House, Warsaw.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05ae340f-802b-4ec7-91a8-8d9642692d47
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